Engineer III Consultant-AI Science

Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

As Engineer Consultant - AI Science you will design, develop and optimize Artificial Intelligence, SLM/LLM solutions to diverse real-world problems and implement cutting-edge generative artificial intelligence models and systems. This role includes a combination of implementing new algorithms, SLM/LLMs, performance/accuracy tuning and analysis, defining APIs, and analyzing functionality coverage to build larger, coherent toolsets and libraries. The ability to work in a multifaceted, product-centric environment with excellent interpersonal skills are required.

• Data Mining or extracting usable data from valuable data sources using SQL, Model Development, and implementing innovative NLP/SLM/LLM based AI solutions using Python, Pyspark, distributed computing framework and cloud platform.

• Contributing to developing robust and scalable distributed computing systems for large-scale data processing.

• Contributing in developing Core NLP/SLM/LLM reusable pipelines and infrastructure.

• Implementing and analyzing the performance of advanced algorithms, including those from NLP, deep learning and generative AI.

• Analyzing and modeling both structured and unstructured data from a number of distributed client and publicly available sources.

• Contributing to the research and development of novel generative models, exploring new algorithms and methodologies.

• Collaborating with cross-functional teams to define project requirements and deliver high-quality solutions.

What we are looking for: -

• Bachelor’s degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Three or more years of experience in cognitive analytics and AI modeling.

• Experience working in collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms.

• Experience in large-scale distributed systems capable of performing end-to-end AI training and SLM & LLM modeling includes orchestration, fine tuning, model serving in production environment (batch/real time).

• Knowledge of GPU/CPU architecture and distributed computing.

• Working knowledge in advance Prompt engineering and optimizations techniques.

• Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning.

• Experience in Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Contribute to the research and development of novel generative models, exploring new algorithms and methodologies.

• Proficiency in programming languages such as Python, Java, debugging, performance analysis and relevant AI libraries/frameworks (TensorFlow, PyTorch, etc.)

Even better if you have :

• Advance degree in computer science, Mathematics, Data science or similar field preferred

• Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning (Image, Video, Speech etc.). Advance knowledge of mathematics, Statistics and algorithms.

• Experience in GCP/Azure/AWS or any other cloud technology. Hands-on experience with inference and deployment environments would be an asset

• Experience in Research, prototype, and develop effective tools and infrastructure pipelines

• Publish innovative results on Github, scientific publications and patents.

• Familiarity with telecommunications industry data and use cases.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.